Mariotti, Veronica

Abstract Background: Multiple myeloma (MM) accounts for approximately 1% of all cancers and 10% of hematologic malignancies in the United States (U.S.). MM occurs in all races, but the incidence in African Americans is two to three times higher than in non-Hispanic whites. MM is also slightly more frequent in men than women (1.4:1). Many clinical trials lack appropriate representation of specific patient populations, limiting the generalizability of the evidence obtained. Therefore, we determined the representation of ethnic minorities, the elderly, and women in MM clinical trials. Methods: Enrollment data from all therapeutic trials reported as completed in clinicaltrial.gov from 2000 to 2016 were analyzed. Clinical trials including other hematologic malignancies and with recruitment outside of the U.S. were excluded. Enrollment fraction (EF) was defined as the number of enrollees divided by the 2013 SEER database MM complete prevalence. Chi-square test was used to estimate differences in categorical data. Results: Out of 177 MM clinical trials (CT), 78 (44%) reported ethnicity with a total of 12,055 enrollees. Regarding enrollees' ethnic composition, 84% were non-Hispanic White (NHW), 8.6% African American (AA), 2.8% Asian, 1.8% Hispanic, and 0.1% Native American/Alaskan Indian. Out of those 78 CT, 52 (66%) were phase II, 15 (19%) phase III, and 11 (14%) phase I. Most of the results were published from 2012 to 2016 (74%). Forty-six (59%) trials were sponsored by industry, 7 (9%) by NCI, and 25 (32%) were investigator initiated. Participation in CT varied significantly across ethnic groups, NHW were more likely to be enrolled in CT (EF of 0.23) than AA (EF of 0.08, p < 0.0001) and Hispanics (EF of 0.05, p< 0.0001). Males had a higher recruitment rate than females (58% vs. 42%), but this could be explained by the higher incidence of MM in males. Enrollees' median age was 62 years. Younger patients (< 65 years) were more likely to be enrolled in CT than the elderly (66% vs. 34%, p<0.0001). Industry-sponsored trials were less likely to recruit AA compared with investigator-initiated trials (7.6% vs. 12%, p<0.01). Conclusions: Despite the higher incidence of MM in African Americans and the elderly, the former only represented 8.6% of the study participants and 66% of these were less than 65 years of age; therefore, we are lacking data in the tolerability of these new agents in our aging MM population. We also observed that industry studies were less likely to recruit AA patients. Collaborations between investigators, sponsors, and the community are necessary to increase our minority and elderly patients' access to clinical trials. Citation Format: Narjust Duma, Miguel Gonzalez Velez, Jesus Vera-Aguilera, Richardo Parrondo, Veronica Mariotti, Jonas Paludo, Yucai Wang, Ronald Go, Alex Adjei. Diversity in multiple myeloma clinical trials [abstract]. In: Proceedings of the Tenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2017 Sep 25-28; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2018;27(7 Suppl):Abstract nr A27.

e15722 Background: Pancreatic cancer (PaCa) is a highly lethal disease, with a 5-year overall survival (OS) rate of approximately 6%, and a median OS of only 3–6 months (m). Despite recent improvements in surgical techniques and increased use of combination chemotherapy (CT), OS remains poor. This study aims to examine the factors that led to increased OS in PaCa patients (pts) over the past two decades in a single academic institution. Methods: All medical records of pts diagnosed with PaCa at the John Theurer Cancer Center from 1990 to 2012 were reviewed, and 916 PaCa pts were included in this analysis. We compared one group of pts diagnosed from 1990 to 2003 (G1, n = 482), with a group of pts diagnosed from 2004 to 2012 (G2, n = 434) in terms of OS, demographics, tumor features and treatment (tx). Results: Median age at diagnosis was 70.5 years (range 26-96). There was no significant difference between G1 and G2 in terms of age at diagnosis, stage of disease and number of pts who received surgery. A significantly higher percentage of pts received CT in G2 compared to G1 (66.5% vs 51.0%, p = .00). Tumors of the pancreatic head were more common in G1 compared to G2 (51.8% vs 44.4% p = .02). More pts in G2 received two or more CT agents compared to G1 (49.0% vs 34.1%, p = .00). Median OS was significantly longer in G2 compared to G1 (9m vs 5m, p = .00), in pts who received CT compared to pts who did not (3m vs 9m, p = .00) and in pts who received surgery compared to pts who did not (5m vs 19m, p = .00). Pancreatic head location was associated with improved OS compared to other locations (9m vs 5m, p = .00). No OS difference was found between pts who received combination with two or more agents vs single agent CT. Conclusions: In line with multiple studies, analysis of PaCa data from our institution showed an increase OS in pts diagnosed with PaCa in more recent years, and in those who received surgery and CT. CT was administered in a larger number of pts in G2, which might account for the better OS in this group. Pts diagnosed with tumors of the pancreatic head had better survival, which could be explained by earlier presentation leading to earlier diagnosis and tx. Further research in PaCa therapeutics is needed, as long-term OS in PaCa pts remains poor despite recent advances.

803 Background: The routine use of comprehensive genomic profiling (CGP) has led to better genomic characterization, more personalized treatments and higher enrollment in clinical trials for many solid cancers. The aim of this study was to evaluate the clinical and genomic prolife of patients (pts) with gastrointestinal cancers (GIC) with the use of a CGP assay and their potential therapeutic benefit at a large comprehensive cancer center. Methods: We retrospectively analyzed 83 consecutive pts with GIC that had CGP at the JTCC between 01/2014-09/2016. Demographics, CGP results, and clinical characteristics were studied. Clinically relevant genomic alterations (CRGAs) were identified using the FoundationOne assay (Foundation Medicine, Cambridge, MA), and were defined as alterations linked to approved therapies and those under evaluation in genotype-driven clinical trials. Results: 83 pts with GIC were analyzed. 46.9% males and 53.0% females. The median age at diagnosis was 58.5 years. 73 (88%) patients were stage III/IV at diagnosis. Tumors consisted of colorectal (36%), gastric (24%), pancreatic (12%) and cholangiocarcinoma (6%). All the pts were found to have at least one genomic alteration (GA). CRGAs were identified in 63 (76%) of cases, with an average of 2 per pt. The most frequently identified GAs were TP53 43 (29.9%), APC 24 (16.7%), KRAS 31 (21.5%), ARID1A 12 (8.3%), PIK3CA 11 (7.6%), and SMAD4 11 (7.6%). Of the 63 pts with CRGAs, 23 (36%) received one of the therapies suggested by the NGS assay, and 9 (14%) were enrolled in a clinical trial. Conclusions: The use of CGP assay identified a high frequency of CRGAs in GIC pts. The assay provided information for genomic-directed therapy in 36% of the patients. The routine use of CGP in GIC may lead to pts receive more personalized treatments. The potential benefit of selected targeted therapies in individual cases suggests that larger studies of treatment guided by routine CGP in gastrointestinal malignancies are warranted.

791 Background: With the surge of drug development in the past decade, early phase clinical trials (EPCT) have gained value evaluating the potential benefits of new therapies. The inclusion/exclusion criteria in EPCT are usually rigorous and may exclude many patients (pts) commonly seen in clinical practice. Our objective was to identify the most common comorbidities excluded in EPCT for CRC. Methods: ClinicalTrials.gov was queried on December 1stof 2015. We reviewed the characteristics and eligibility criteria of 369 phase I/II interventional drug trials including: experimental arm therapy, location, and exclusion/inclusion criteria. Logistic regressions were completed and exclusion was studied as a binary variable. Results: Of the 369 trials, 68% were phase II and 32% phase I. 46% were conducted in the United States, 30% in Europe, 15% in Asia and 9% in other locations. 74 (20%) trials excluded pts > 70 years of age. 142 (39%) trials required creatinine levels < 1.5 mg/dl, liver enzymes (AST/ALT) < 2.5 and bilirubin < 1.5 of the upper limit of normal. Cytopenia was a significant exclusion factor: 147 (47%) trials required Hgb > 9 g/dl and 218 (59%) excluded pts with platelets < 100,000/dl. In terms of comorbidities, 98 (27%) trials excluded pts with heart failure (NYHA class 3/4), 74 (20%) with atrial fibrillation, 112 (31%) with any anticoagulation therapy and 155 (42%) with positive HIV. Trials located in the US were more likely to exclude pts with Hgb < 9g/dl (OR: 1.5, 95%CI: 1.1-2.3, p < 0.05), immunotherapy trials were more likely to exclude pts on any anticoagulation (OR:1.8, 95%CI: 1.2-2.8, p < 0.007) and targeted therapy trials were more likely to exclude pts with history of DVT/PE or cardiovascular diseases (OR: 3.4, 95%CI: 1.9-5.8, p < 0.0001; OR: 2.3, 95%CI: 1.3-3.8, p < 0.002, respectively). Conclusions: 20% of EPCTs on CRC excluded pts with advanced age, organ dysfunction and common comorbidities. Many of the EPCT reviewed were not inclusive of our aging oncology population who are more likely to have multiple comorbidities. Investigators should review whether sufficient justification exists for every exclusion criterion before their incorporation in future trial protocols.